CN105279409A - Handheld identity verification device, identity verification method and identity verification system - Google Patents

Abstract

The invention provides a handheld identity verification device, an identity verification method and an identity verification system. Obtain the user's face image sequence and eye image sequence through a handheld verification device to compare whether the face image sequence matches the preset face image features, and compare whether the eye image sequence matches the preset iris image features. consistent. Through the handheld verification device, a user interface is provided for the password verification process. Furthermore, multiple gaze positions of the user on the user interface are detected to determine the password string. Furthermore, it is verified whether the password string matches the qualified user's default password.

Description

Handheld identity verification device, identity verification method and identity verification system

technical field

The present invention relates to an entrance and exit control method, and in particular to a hand-held identity verification device, identity verification method and identity verification system.

Background technique

In today's advanced information technology, in order to limit the personnel entering a specific area, a handheld identity verification device is installed at the entrance of a specific area. For example, office gates, elevators, factories, warehouses, MRT entrances, airport specific entrances, hospitals, etc. The general access control system mostly uses remote controllers or identification cards as the basis for opening the access control system. People need to use the allowed remote control or identification card for induction, and only after the access control system confirms that they are correct can they enter the area controlled by the access control system. However, the general access control system cannot effectively control the identity of people entering and leaving. People can pass the verification of the access control system as long as they hold the allowed remote control or identification card.

Contents of the invention

The invention provides a hand-held identity verification device, an identity verification method and an identity verification system, which can use the state of eye movement to input passwords, so that the input of passwords is more diversified.

The identity verification method of the hand-held verification device of the present invention includes: providing a hand-held verification device for a user to perform identity verification; obtaining the user's face image sequence and eye image sequence through the hand-held verification device; comparing the human face Whether the image sequence is consistent with the preset face image features; compare whether the eye image sequence is consistent with the preset iris image features; provide a user interface for password verification procedures through a hand-held verification device; detect the user in the user interface a plurality of gaze positions on the screen, thereby determining a password string; and verifying whether the password string matches the preset password of the qualified user.

In an embodiment of the present invention, the user interface includes a password input menu. The above-mentioned identity verification method also includes: generating a plurality of candidate characters based on the preset password, and displaying the above-mentioned candidate characters in the password input menu, wherein the above-mentioned candidate characters are respectively corresponding to the above-mentioned gaze positions, and according to the detected user in one of the gaze positions position, select an input character among the above candidate characters. After that, it is judged whether the input characters are correct. If the input character is correct, accumulate a character length, and add the input character to the password string. If the character length has not reached the password length of the default password, generate multiple candidate characters based on the default password again, and display the above candidate characters in the password input menu, so as to continue to select subsequent input characters based on the detection of the user's gaze position . When the input character is correct, if the character length reaches the password length of the preset password, an unlocking signal is generated to the security device. In the case of wrong input characters, randomly generate candidate characters and display the above candidate characters in the password input menu, and after selecting one of the above candidate characters, continue to randomly generate candidate characters and display the above candidate characters in the password input menu until you exit Password validator.

In an embodiment of the present invention, when the candidate characters are generated for the first time, the first code of the preset password is used as one of the candidate characters; and the input character selected for the N-1 time is correct Next, when the candidate characters are regenerated for the Nth time, the Nth code of the preset password is used as one of the candidate characters. Here, N is an integer greater than 1, and N is an integer less than or equal to the password length.

In an embodiment of the present invention, the above-mentioned identity verification method further includes: in the case of displaying the password input menu, if it is not detected that one of the above-mentioned candidate characters is selected within a preset time, then exit the password verification procedure .

In an embodiment of the present invention, the above-mentioned identity verification method further includes: acquiring a user's face image sequence by an image acquisition unit. If the face image sequence matches the preset face image features, the iris acquisition unit is driven to acquire the user's eye image sequence. The eye image sequence matches the preset iris image characteristics, and a user interface is provided for password verification procedures.

In an embodiment of the present invention, the above identity verification method further includes: detecting whether the user is within the first detection range of the image acquisition unit, so that when the user is within the first detection range, the image acquired by the image acquisition unit is analyzed. The face image sequence of the user; detect whether the user is located in the second detection range of the iris acquisition unit of the handheld identity verification device, and analyze the user's information obtained by the iris acquisition unit when the user is located in the second detection range. eye image sequence; and if the user is not within the first detection range or the second detection range, sending out a first prompt message or a second prompt message.

In an embodiment of the present invention, the identity verification method further includes: if the password string matches the preset password of the qualified user, generating an unlocking signal to the security device.

In an embodiment of the present invention, the identity verification method further includes: further displaying a help icon and an unlock icon on the user interface. When the unlock icon is enabled, a password verification procedure is executed. When the distress icon is enabled, a warning signal is generated to the security device, and a password verification procedure is executed.

The hand-held identity verification device of the present invention includes: a display unit, a storage unit, an image acquisition unit, an iris acquisition unit and a processing unit. The processing unit is coupled to the display unit, the storage unit, the image acquisition unit and the iris acquisition unit. The storage unit includes an image recognition module, a password verification module and an eye tracking module. The image acquisition unit is used to acquire the user's face image sequence. The iris acquisition unit is used to acquire the user's eye image sequence. The processing unit executes the image recognition module, the password verification module and the eye movement tracking module. The image recognition module analyzes the face image sequence and the eye image sequence to determine whether the user is a qualified user. The eye tracking module detects multiple gaze positions of the user on the user interface, and determines a password string accordingly. The password verification module verifies whether the password string matches the preset password of the qualified user.

The identity verification system of the present invention includes a hand-held verification device and a remote verification host. The handheld verification device includes an image acquisition unit, an iris acquisition unit and a transmission unit. The remote verification host includes a processing unit, a storage unit and a transmission unit. The processing unit is coupled to the storage unit and the transmission unit. The storage unit includes an image recognition module, a password verification module and an eye tracking module. The image recognition module analyzes the face image sequence and the eye image sequence to determine whether the user is a qualified user. The eye tracking module detects multiple gaze positions of the user on the user interface, and determines a password string accordingly. The password verification module verifies whether the password string matches the preset password of the qualified user.

Based on the above, the use of biometric information for identity identification and password input to replace the induction of traditional remote controls or identification cards can not only reduce the burden of people carrying too many remote controls or identification cards, but also improve security. Moreover, using the eye movement state to input the password makes the input of the password more diversified.

In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail with reference to the accompanying drawings.

Description of drawings

FIG. 1 is a block diagram of a handheld identity verification device according to an embodiment of the present invention;

2A and 2B are flowcharts of an identity verification method of a handheld verification device according to an embodiment of the present invention;

3A to 3C are schematic diagrams of the operation of a handheld identity verification device according to an embodiment of the present invention;

4 is a schematic diagram of a user interface with a help icon according to an embodiment of the present invention;

5 is a schematic diagram of a password input menu according to an embodiment of the present invention;

FIG. 6 is a block diagram of an identity verification system according to an embodiment of the present invention.

Explanation of reference signs:

100: a handheld identity verification device;

110: image acquisition unit;

120: iris acquisition unit;

130: processing unit;

140: storage unit;

141: information base;

142, 631: image recognition module;

143, 632: password verification module;

144, 633: eye tracking module;

150: display unit;

160, 640: transmission unit;

R1, R2: circle;

401: unlock icon;

402: SOS icon;

500: Password input menu;

501: password display box;

502: candidate character window;

600: identity verification system;

610: remote verification host;

620: processing unit;

630: storage unit;

S20-S25, S205-S250: each step of the identity verification method of the handheld verification device.

detailed description

FIG. 1 is a block diagram of a handheld identity verification device according to an embodiment of the present invention. Referring to FIG. 1 , the handheld identity verification device 100 includes an image acquisition unit 110 , an iris acquisition unit 120 , a processing unit 130 , a storage unit 140 , a display unit 150 and a transmission unit 160 . The processing unit 130 is coupled to the image acquisition unit 110 , the iris acquisition unit 120 , the storage unit 140 , the display unit 150 and the transmission unit 160 .

The image acquisition unit 110 is used to acquire a human face image sequence. The iris acquisition unit 120 is used for acquiring eye image sequences. The image acquisition unit 110 is, for example, a video camera or a camera using a charge coupled device (CCD for short) lens or a complementary metal oxide semiconductor transistor (CMOS for short) lens. The iris acquisition unit 120 is, for example, a video camera with an infrared lens, a camera, or the like. In a preferred embodiment, including but not limited to, a single camera can also be used to perform the functions of the iris capture unit 120 and the image capture unit 110 .

Here, the handheld identity verification device 100 implements the identity verification method with a program. That is, a plurality of program segments are stored in the storage unit 140 , and the above program segments will be executed by the processing unit 130 after being installed. For example, the storage unit 140 includes an image recognition module 142 , a password verification module 143 and an eye tracking module 144 , which are respectively composed of one or more program segments to perform multiple functions. The storage unit 140 also includes an information repository 141 for storing account information of qualified users.

The processing unit 130 is, for example, a central processing unit (Central Processing Unit, CPU for short) or other programmable microprocessor (microprocessor). The storage unit 140 is, for example, any type of fixed or removable random access memory (Random Access Memory, referred to as RAM), read-only memory (Read-Only Memory, referred to as ROM), flash memory (Flash memory), hard disk or other similar devices or combination of these devices.

The eye tracking module 144 detects multiple gaze positions of the user on the user interface, and determines the password string accordingly. For example, the eye movement state of the user is detected by analyzing the eye image sequence through the eye movement tracking module 144 . The image recognition module 142 analyzes the face image sequence and the eye image sequence to determine whether the user is a qualified user allowed by the handheld identity verification device 100 . Moreover, after determining that the user is a qualified user, the password verification module 143 executes a password verification procedure. The password verification module 143 verifies whether the password string matches the preset password of the qualified user.

The following describes the identity verification method in conjunction with the above-mentioned handheld identity verification device 100 . 2A and 2B are flowcharts of an identity verification method of a handheld verification device according to an embodiment of the present invention.

Please refer to FIG. 2A , in step S20 , the user's face image sequence and eye image sequence are acquired through the handheld identity verification device 100 . That is, the face image sequence is acquired by the image acquisition unit 110 , and the eye image sequence is acquired by the iris acquisition unit 120 . The face image sequence includes a plurality of face images. The eye image sequence includes a plurality of eye images or iris images.

Next, in step S21 , the image recognition module 142 compares the face image sequence with preset features of the face image. Moreover, in step S22 , the image recognition module 142 compares the eye image sequence with the preset iris image features. Whether the user is a qualified user is determined through step S21 and step S22. When the face image sequence matches the preset face image features, and the eye image sequence matches the preset iris image features, it is determined that the user is a qualified user.

Afterwards, in step S23 , a user interface is provided by the handheld identity verification device 100 to perform a password verification procedure. In step S24, a password string is determined based on detecting multiple gaze positions of the user on the user interface. And, in step S25, it is verified whether the password string matches the preset password of the qualified user.

Next, please refer to FIG. 2B , in step S205 , the image recognition module 142 determines whether the user is a qualified user of a specific account based on the preset face image features and iris image features in the information base 141 . If it is determined that the user is not a qualified user, the image recognition module 142 ends the identity verification procedure. If it is determined that the user is a qualified user, in step S210, the image recognition module 142 reads the default password corresponding to the user, and sends the recognition result to the password verification module 143 to execute step S215 to enter the password verification procedure.

For example, the handheld identity verification device 100 acquires the user's face image sequence through the image acquisition unit 110. After receiving the face image sequence, the processing unit 130 will drive the image recognition module 142 to analyze the face image sequence to obtain Face image features. The image recognition module 142 judges whether the features of the face image match the preset face image features of a set of account information stored in the information base 141 . In other words, after the image recognition module 142 obtains the face image features, it will query the information base 141, and compare the face image features with the stored account information face image features one by one to find out whether there is a matching face image. feature. Image recognition module 142 can utilize AdaBoost algorithm or other existing face recognition algorithm (for example, utilize Haar-like feature to carry out face recognition action) to obtain the face object in each image, obtain with face object features of face images.

If the preset face image feature matching the face image sequence is found, the image recognition module 142 will further drive the iris acquisition unit 120 to acquire the user's eye image sequence, so as to analyze the eye image sequence to obtain the iris image feature. Next, the image recognition module 142 compares the iris image features with the preset iris image features in the above-mentioned account information (that is, the account information corresponding to the above-mentioned matching preset face image features) to determine the obtained iris image Whether the characteristics match the preset iris image characteristics. If the obtained iris image feature matches the preset iris image feature, the image recognition module 142 determines that the user is a qualified user.

In general, the iris is full of features that can be quantified to clearly identify human eyes. The image recognition module 142 analyzes and quantifies the patterns of these features and their spatial relationship to identify them. For example, the image recognition module 142 will first exclude places such as eyelid cover, deep shadow (deep shadow), and reflection (specular reflection) in the eye image sequence, and then quickly find out a suitable and available block of the iris, and obtain features for this block. analyze.

On the other hand, if the image recognition module 142 does not find account information matching the features of the obtained face image, it is determined that the user is not a qualified user, and the identity verification procedure ends. In addition, even if the image recognition module 142 finds the account information that matches the features of the face image, if the comparison of the features of the iris image is not suitable, it will also determine that the user is not a qualified user, thus ending the identity verification process.

In addition, in other embodiments, the handheld identity verification device 100 may first acquire the iris image, and then acquire the face image after successfully obtaining the features of the iris image. The order of obtaining the face image features and iris image features is not limited here.

3A-3C are schematic diagrams of the operation of the handheld identity verification device according to an embodiment of the present invention. As shown in FIG. 3A , the user picks up the handheld identity verification device 100 so that the image acquisition unit 110 can be aligned with his face, and the display unit 150 will simultaneously display the face acquired by the image acquisition unit 110 image, as shown in Figure 3B. Here, it is assumed that when the handheld identity verification device 100 is about 40 cm to 50 cm away from the user's face (the first detection range), the display unit 150 displays a message of "system detection". When the user exceeds the first detection range, the display unit 150 displays a first prompt message of "unable to detect".

Here, the distance between the image acquisition unit 110 and the iris acquisition unit 120 and the user's face can be judged by using an infrared distance measuring device and/or an image analysis method, and a sound is emitted after it is detected that a working distance has been reached Prompt or text prompt.

After successfully obtaining the face image features, the image recognition module 142 judges whether the obtained face image features conform to the preset face image features of one set of account information. After it is determined that the obtained face image features match the preset face image features existing in the information base 141, the iris image is acquired. Here, the user places the handheld identity verification device 100 about 13cm to 15cm in front of the face (the second detection range), and the display unit 150 will simultaneously display the user's eye image (which can be a monocular image or binocular image), as shown in Figure 3C. The user watches the display unit 150 to adjust the position of his eyes so that the eyes can be placed at the center of the display unit 150 . When the circle R1 in the display unit 150 changes into a circle R2, it means that the user's eyes have been placed in a proper position, so that the iris acquisition unit 120 can successfully acquire the iris image. And when the user exceeds the second detection range, the display unit 150 displays a second prompt message of "unrecognizable information".

Returning to Figure 2B, in order to prevent the user from performing identity verification under duress, after determining that the user is a qualified user, that is, after step S205, and before entering step S215, in step S207, further A help icon and an unlock icon are displayed on the user interface prior to the display unit 150 . When the unlock icon is enabled, a password verification procedure is executed. When the distress icon is enabled, in step S209 , the image recognition module 142 generates a warning signal, and transmits the warning signal to the security device through the transmission unit 160 , and then executes the password verification procedure.

For example, FIG. 4 is a schematic diagram of a user interface with a distress icon according to an embodiment of the present invention. Referring to FIG. 4 , after the image recognition module 142 determines that the user is a qualified user, the display unit 150 displays a user interface as shown in FIG. 4 . The user interface includes a help icon 402 and an unlock icon 401 .

The eye-tracking module 144 detects the user's eye-movement state, and activates the distress icon 402 or the unlock icon 401 based on the eye-movement state. For example, when the eye tracking module 144 detects that the user's eyes gaze at the unlock icon 401 for about 1.5-2 seconds, the unlock icon 401 will be enabled. Alternatively, when the eye-tracking module 144 detects that the user's eyes gaze at the enabled distress icon 402 for about 1.5-2 seconds, the enabled distress icon 402 will be enabled.

When the unlock icon 401 is enabled, continue to execute step S210, and perform a password verification procedure (ie, step S215). When the distress icon 402 is enabled, the handheld identity verification device 100 will send a warning signal to the security device, as shown in step S209 . After that, continue to execute step S210, and execute the password verification procedure (ie, step S215). That is to say, even if the user selects the distress icon 402, the handheld identity verification device 100 will still enter the password verification procedure while notifying the security device.

In step S210, the image recognition module 142 reads the user's default password from the account information corresponding to the user. Moreover, the image recognition module 142 will drive the password verification module 143, so that the password verification module 143 executes the password verification procedure, as shown in step S215, which includes steps S220-step S250. In other embodiments, step S207 may also be performed after step S210.

In addition, after the image recognition module 142 determines that the user is a qualified user, it will also drive the eye tracking module 144 to detect the user's eye movement state, so as to detect the user's gaze position on the user interface. Accordingly, during the execution of the password verification procedure, the password verification module 143 will select input characters based on the eye movement state. The eye movement state includes at least one of pupil displacement, pupil movement direction, gaze position and eye blinking action. For example, judge the selected candidate character by pupil displacement, pupil movement direction and gaze position, and judge whether to use the selected candidate character as an input character by blinking, or use the preset gaze time as a confirmation input command .

The eye movement triggering method is as follows. For example, place the hand-held identity verification device 100 about 15cm in front of the face. will be triggered. If the gaze position is changed before triggering, it will not trigger.

Under the password verification procedure, in step S220 , the password verification module 143 displays a password input menu on the display unit 150 . Specifically, the password verification module 143 provides the above-mentioned password input menu, so as to display a plurality of candidate characters in the password input menu for the user to perform eye movement input. When the image recognition module 142 determines that the user is a qualified user and sends a relevant signal to the password verification module 143, the password verification module 143 will generate a plurality of candidate characters based on the preset password read above, and display these candidate characters to Password input menu. Here, each candidate character corresponds to a gaze position in the user interface.

FIG. 5 is a schematic diagram of a password input menu according to an embodiment of the invention. For ease of description, the password length of the preset password is 4 codes for illustration, however, it is not limited thereto. In other embodiments, the password length of the preset password can be limited according to requirements. Referring to FIG. 5 , the image acquisition unit 110 is disposed above the display unit 150 , and the iris acquisition unit 120 is disposed below the display unit 150 . The password input menu 500 is displayed on the user interface of the display unit 150 . The password input menu 500 includes a candidate character window 502 and a password display box 501 . The password display grid 501 is used to display the number that has been input up to now. The candidate character window 502 includes four candidate characters, but is not limited to this number, and the number of candidate characters can be adjusted according to user requirements.

When the password verification module 143 generates a plurality of candidate characters for the first time, the first code of the preset password is used as one of the candidate characters, and the remaining candidate characters are randomly generated. And, when the password verification module 143 selects the input character for the N-1 time is correct, when the candidate character is regenerated for the N time, the Nth code of the preset password is used as one of the candidate characters, wherein N is an integer greater than 1, and N is an integer less than or equal to the password length.

After the input character is selected, in step S230, the password verification module 143 determines whether the input character is correct. Here, the password verification module 143 judges whether the input characters are correct according to the current input times. For example, when the input character is selected for the first time, it is judged whether the input character matches the first code of the preset password.

If it is determined that the input characters are correct, then in step S235, the password verification module 143 accumulates a length of one character if the input characters are correct. Next, in step S240, the password verification module 143 determines whether the character length of the input characters has reached the password length of the preset password, so as to decide whether to end the input of the password.

If the character length has not reached the password length of the preset password, re-execute step S220, and the password verification module 143 will re-display the password input menu. That is, multiple candidate characters are regenerated based on the preset password, and these candidate characters are displayed in the password input menu, so as to continue to select subsequent input characters based on the eye movement state. On the other hand, if the character length reaches the password length of the preset password, step S245 is executed to perform an unlocking action.

For example, when the input character selected for the first time matches the first code of the preset password, step S220 is re-executed, and when candidate characters are generated for the second time, the second code of the preset password is used as one of them candidate characters, and the rest of the candidate characters can be randomly generated. When the input character selected for the second time matches the second code of the preset password, step S220 is re-executed, and when the candidate characters are generated for the third time, the third code of the preset password is used as one of the candidate characters, The rest of the candidate characters can be randomly generated. By analogy, the unlocking action is not performed until the character length of the input characters has reached the password length of the preset password.

In addition, if the input character is wrong, in step S250, the password input menu is continuously displayed. In detail, randomly generate a plurality of candidate characters and display these candidate characters in the password input menu, and after selecting one of the candidate characters, continue to randomly generate a plurality of candidate characters and display these candidate characters in the password input menu 500 until the password is exited Verifier.

For example, when the password input menu 500 is displayed, if it is not detected that one of the candidate characters is selected within a preset time (for example, 20 seconds), the password verification procedure will exit. Further, if the user does not input any candidate characters within 20 seconds, or the image acquisition unit 110 does not detect the user within 20 seconds, or the iris acquisition unit 120 does not detect eyes within 20 seconds, Then the password verification module 143 exits the password verification program. After exiting the password verification program, if the identity verification is to be performed again, step S205 is performed again.

That is to say, only when the input character is correct, there will be a code in the candidate characters generated next time that is correct. And in the case of wrong input characters, next time the candidate characters will not be generated according to the preset password, but all the candidate characters will be randomly generated directly, and the user will not be notified of the wrong input, but the password input menu 500 will be displayed repeatedly.

In addition, the above-mentioned identity verification method can also be executed by a remote verification host, and the handheld identity verification device 100 is only responsible for acquiring face image sequences and eye image sequences. Let's give another example to illustrate.

FIG. 6 is a block diagram of an identity verification system according to an embodiment of the present invention. Referring to FIG. 6 , an identity verification system 600 includes a handheld identity verification device 100 and a remote verification host 610 . The handheld identity verification device 100 communicates with the transmission unit 640 of the remote verification host 610 through the transmission unit 160 .

In FIG. 6 , the handheld identity verification device 100 includes an image acquisition unit 110 , an iris acquisition unit 120 and a transmission unit 160 . The remote authentication host 610 includes a processing unit 620 , a storage unit 630 and a transmission unit 640 . The processing unit 620 is coupled to the storage unit 630 and the transmission unit 640 . The storage unit 630 includes an image recognition module 631, a password verification module 632, and an eye-tracking module 633, whose functions are the same as those of the image recognition module 142, password verification module 143, and eye-tracking module 144 in FIG. repeat.

In this embodiment, the hand-held identity verification device 100 is only responsible for acquiring face image sequences and eye image sequences, which are then transmitted to the remote verification host 610 through the transmission unit 160, and the remote verification host 610 performs face recognition, Iris recognition and password verification procedures.

To sum up, replacing the induction of traditional remote controllers or identification cards with password input can reduce the burden of people carrying too many remote controls or identification cards. Moreover, a mechanism for eye movement input is provided to make password input more diverse. In addition, since the account information established in the handheld identity verification device includes the corresponding account information of the user, before entering the password verification procedure, the biometric information is used as the first gatekeeping action, so that the handheld identity verification device After mastering the user's identity, the password verification process can be started, which can improve the security of entry and exit. In addition, using the handheld identity verification device for verification is not limited to a fixed position, and the user can manually adjust the distance between the handheld identity verification device and himself, thereby improving user convenience.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (13)

1. utilize an auth method for hand-held demo plant, it is characterized in that, comprising:

There is provided this hand-held demo plant, so that user carries out authentication;

Human face image sequence and the eye image sequence of this user is obtained by this hand-held demo plant;

Whether this human face image sequence of comparison conforms to the facial image feature preset;

Whether this eye image sequence of comparison conforms to the iris image feature preset;

By this hand-held demo plant, user interface is provided to carry out password authentication procedure;

Detect multiple on this user interface of this user and watch position attentively, determine password word string according to this; And

Verify whether this password word string conforms to the preset password of eligible users.

2. the auth method utilizing hand-held demo plant according to claim 1, is characterized in that, this user interface comprises Password Input menu, and this auth method also comprises:

Produce multiple candidate characters based on this preset password, and show above-mentioned candidate characters in this Password Input menu, wherein above-mentioned candidate characters corresponds to respectively and above-mentionedly watches position attentively;

According to this user of detecting above-mentioned watch attentively position one of them, in above-mentioned candidate characters, select input character;

Judge that whether this input character is correct;

When this input character is correct, accumulative character length, and this password word string will be added to above-mentioned input character;

If this character length not yet arrives the Password Length of this preset password, again above-mentioned candidate characters is produced based on this preset password, and show above-mentioned candidate characters in this Password Input menu, to continue to watch position according to this user of detecting attentively above-mentioned one of them selects this follow-up input character; And

If this character length arrives the Password Length of this preset password, produce unlocking signal to saving equipment from damage; And

When this input character mistake, the above-mentioned candidate characters of random generation also shows above-mentioned candidate characters at this Password Input menu, and state candidate characters in the choice after one of them, continue the above-mentioned candidate characters of random generation and show above-mentioned candidate characters at this Password Input menu, until exit this password authentication procedure.

3. the auth method utilizing hand-held demo plant according to claim 2, is characterized in that, when producing above-mentioned candidate characters the 1st time, with the 1st of this preset password the yard be used as above-mentioned candidate characters one of them; And this input character selected by the N-1 time is correct, when regenerating above-mentioned candidate characters the N time, with the N code of this preset password be used as above-mentioned candidate characters one of them, wherein N be greater than 1 integer, and N is the integer being less than or equal to this Password Length.

4. the auth method utilizing hand-held demo plant according to claim 1, is characterized in that, also comprise:

This human face image sequence is obtained by image acquisition unit, and detect the first sensing range whether this user is positioned at this image acquisition unit, with when this user is positioned at the first sensing range, analyze this human face image sequence of this user that this image acquisition unit obtains;

If this human face image sequence conforms to this facial image feature preset, iris acquiring unit is driven to go to obtain this eye image sequence, and detect the second sensing range whether this user is positioned at this iris acquiring unit of this hand-held authentication means, when this user is positioned at this second sensing range, analyze this eye image sequence of this user that this iris acquiring unit obtains; And

If this eye image sequence conforms to this iris image feature preset, this user interface is provided to carry out this password authentication procedure;

Wherein, if this user is not in this sensing range or this second sensing range, the first information or the second information is sent.

5. the auth method utilizing hand-held demo plant according to claim 1, is characterized in that, also comprise:

If this password word string conforms to this preset password of this eligible users, produce unlocking signal to saving equipment from damage.

6. the auth method utilizing hand-held demo plant according to claim 1, is characterized in that, also comprise:

In this user interface, show emergency diagram illustrate with unblock;

When this unblock diagram is enabled, perform this password authentication procedure; And

When this emergency diagram is enabled, produces alarm signal to saving equipment from damage, and perform this password authentication procedure.

7. a hand-held authentication means, is characterized in that, comprising:

Display unit, display user interface;

Image acquisition unit, obtains the human face image sequence of user;

Iris acquiring unit, obtains the eye image sequence of this user;

Storage unit, has picture recognition module, password authentication module and eye and moves tracing module; And

Processing unit, is coupled to this display unit, this storage unit, this image acquisition unit and this iris acquiring unit, and performs picture recognition module, this password authentication module and this eye and move tracing module;

Wherein this picture recognition module analyzes this human face image sequence and this eye image sequence, to judge that whether this user is for eligible users;

Wherein this dynamic tracing module detects multiple on this user interface of this user and watches position attentively, and determines password word string according to this;

Wherein this password authentication module verifies whether this password word string conforms to the preset password of this eligible users.

8. hand-held authentication means according to claim 7, is characterized in that, this password authentication module produces multiple candidate characters based on this preset password, and shows above-mentioned candidate characters at Password Input menu; Further, this password authentication module according to detect this user above-mentioned watch attentively position one of them and in above-mentioned candidate characters, select input character, and judge that whether this input character correct; When this input character is correct, this password authentication module adds up character length, and this password word string will be added to above-mentioned input character, and the Password Length of this preset password is not yet arrived at this character length, again above-mentioned candidate characters is produced based on this preset password, and show above-mentioned candidate characters at this Password Input menu, to continue according to detecting that this user watches position attentively above-mentioned one of them selects this follow-up input character; And the Password Length of this preset password is arrived at this character length, this password authentication module produces unlocking signal to saving equipment from damage;

And when this input character mistake, this password authentication module produces above-mentioned candidate characters at random and shows above-mentioned candidate characters at this Password Input menu, and state candidate characters in the choice after one of them, this password authentication module continues the above-mentioned candidate characters of random generation and shows above-mentioned candidate characters at this Password Input menu, until exit this password authentication procedure.

9. hand-held authentication means according to claim 8, is characterized in that, this password authentication module when producing above-mentioned candidate characters the 1st time, with the 1st of this preset password the yard be used as above-mentioned candidate characters one of them; And this input character selected by the N-1 time is correct, when regenerating above-mentioned candidate characters the N time, with the N code of this preset password be used as above-mentioned candidate characters one of them, wherein N be greater than 1 integer, and N is the integer being less than or equal to this Password Length.

10. hand-held authentication means according to claim 7, it is characterized in that, this image recognition code character is when judging that this human face image sequence conforms to the facial image feature preset, this iris acquiring unit is driven to go to obtain this eye image sequence, and when judging that this eye image sequence conforms to the iris image feature preset, this password authentication module is driven to carry out this password authentication procedure

And, this picture recognition module detects the first sensing range whether this user is positioned at this image acquisition unit, and detect the second sensing range whether this user is positioned at this iris acquiring unit, if this user in this first sensing range or this second sensing range, does not send the first information or the second information.

11. hand-held authentication means according to claim 7, is characterized in that, this password authentication module, when this password word string conforms to this preset password of this eligible users, produces unlocking signal to saving equipment from damage.

12. hand-held authentication means according to claim 7, it is characterized in that, show emergency diagram in this user interface to illustrate with unblock, when this unblock diagram is enabled, perform this password authentication procedure, and when this emergency diagram is enabled, produce alarm signal to saving equipment from damage, and perform this password authentication procedure.

13. 1 kinds of authentication systems, is characterized in that, comprising:

Hand-held demo plant, in order to obtain human face image sequence and the eye image sequence of user, and has user interface for this user and carries out password authentication procedure;

Remote authentication main frame, is coupled to this hand-held demo plant, is received from this human face image sequence and this eye image sequence that this hand-held demo plant transmits, to judge that whether this user is for eligible users;

Wherein this remote authentication main frame has picture recognition module, password authentication module, eye move tracing module and processing unit;

Wherein this picture recognition module analyzes this human face image sequence and this eye image sequence, to judge that whether this user is for eligible users;

Wherein this dynamic tracing module detects multiple on this user interface of this user and watches position attentively, and determines password word string according to this;

Wherein this password authentication module verifies whether this password word string conforms to the preset password of this eligible users, if conform to, produces unlocking signal to saving equipment from damage.